Graphical '/> Consensus scoring model for the molecular docking study of mTOR kinase inhibitor
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Consensus scoring model for the molecular docking study of mTOR kinase inhibitor

机译:MTOR激酶抑制剂分子对接研究的共识评分模型

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Graphical abstractA series of 25 kinds of mTOR inhibitors with antitumor activity has been selected for the molecular docking study of mTOR kinase inhibitor. Two best calculated models10and22with same BEI indice: for model10, training set R2=0.767, Q2=0.647, RMSE=0.024, and for test set R2=0.932, RMSE=0.026; for model22, raining set R2=0.790, Q2=0.627, RMSE=0.023, and for test set R2=0.955, RMSE=0.020.Display OmittedHighlights?The predicted poses of these ligands revaluated by twenty-six available scoring functions.?Three ligand efficiency indices instead of pIC50as the activity could be used in this study.?Consensus scoring models are trained based on the obtained rescoring results by the partial least squares (PLS) method.
机译:<![cdata [ 图形抽象 已选择具有抗肿瘤活性的25种MTOR抑制剂,用于MTOR激酶抑制剂的分子对接研究。两个最佳计算模型 10 22 与bei indice相同:对于model 10 ,培训设置R 2 = 0.767,Q 2 = 0.647,RMSE = 0.024,以及测试SET R 2 = 0.932,RMSE = 0.026;对于模型 22 ,下雨集R 2 = 0.790,Q 2 = 0.627,RMSE = 0.023,以及测试集R 2 = 0.955,RMSE = 0.020。 显示省略 突出显示 预测的姿势这些配体重估了二十六种可用评分函数。 三个配体效率指数而不是pic 50 作为活动可以是u在本研究中。 共识评分型号根据所获得的使用部分最小二乘(PLS)方法培训。

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